Abstract: The deconvolution algorithm is effective in eliminating interference components, but it is prone to being influenced by impulse interference, resulting in suboptimal performance in early ...

I saw a strange behavior of the new Deconvolution Object-only algorithm (GraXpert 3.1.0rc2): if you look at the resulting image that has been stretched in Gimp (see image 2025-10-14 ...

Background: Bladder cancer (BLCA) continues to be a significant cause of cancer mortality in the urinary tract, with therapeutic resistance representing a major barrier to improving patient outcomes.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Charge state deconvolution is essential for efficient and effective protein mass ...

Background: Pancreatic cancer (PC) is marked by extensive heterogeneity, posing significant challenges to effective treatment. The tumor microenvironment (TME), particularly cancer-associated ...

Researchers have successfully demonstrated quantum speedup in kernel-based machine learning. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.

Abstract: Deconvolution algorithms often rely on conventional beamforming methods to obtain beamforming vectors, which limit their resolution. To enhance parameter estimation resolution, this article ...

According to a study published in Advanced Photonics, researchers at Zhejiang University in China, led by Prof. Delong Zhang, have developed a new approach that represents a significant advancement in ...

SIMIP enables high-resolution images rich in both chemical and spatial information. A quantum cascade laser (QCL) excites molecular vibrations while a spatial light modulator (SLM) generates striped ...

In the dark, crushing silence of the deep ocean, a new kind of sonar could soon be making waves—not with high-powered acoustic blasts or flashy emissions but with the barely perceptible hum of a ...